A multi-objective optimization model of component selection in enterprise information system integration

Lifeng Mu, Chun Kit Kwong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


Integrating legacy IT assets and new commercial software components together into a flexible IT architecture is one of open challenges facing modern enterprises today. Most of previous studies focused on using re-engineering to improve the flexibility of IT architectures, rather than employing optimization theory in architecture design problem, especially the problem of component selection and re-allocation in IT architecture. Moreover, a scant amount of literature is available on considering the architectural flexibility and integration cost simultaneously. To fill in this gap, based on a modified quantitative method of measuring the relationship between couplings and cohesions in architecture, we devise a nonlinear multi-objective binary integer programming to select components from legacy candidates and commercial candidates, and to group them into services under the service-oriented architecture (SOA) environment. The customized SPEA2 algorithm is further used to solve the problem, and some managerial insights are provided based on experiments and sensitivity analysis with the model.

Original languageEnglish
Pages (from-to)278-289
Number of pages12
JournalComputers and Industrial Engineering
Publication statusPublished - 1 Jan 2018


  • Component selection
  • Enterprise information technologies
  • Flexible IT architecture
  • Multiple objective programming
  • OR in software engineering

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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